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149
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SIGADA
2004
Springer
15 years 9 months ago
2004
Springer
Genetic Algorithms provide computational procedures that are modeled on natural genetic system mechanics, whereby a coded solution is “evolved” from a set of potential solutio...
140
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CIARP
2006
Springer
15 years 6 months ago
2006
Springer
The Neural Gas (NG) is a Vector Quantization technique where a set of prototypes self organize to represent the topology structure of the data. The learning algorithm of the Neural...
127
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ESA
2008
Springer
15 years 6 months ago
2008
Springer
In this paper, we study two fast algorithms--HashRF and PGM-Hashed--for computing the Robinson-Foulds (RF) distance matrix between a collection of evolutionary trees. The RF distan...
151
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NIPS
2008
15 years 5 months ago
2008
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
146
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SIGOPS
2010
15 years 2 months ago
2010
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...